DeepDiscount Scraper

DeepDiscount Scraper collects detailed product data from DeepDiscount category and search pages using a single URL input. It helps teams turn large product catalogs into structured datasets for pricing, research, and competitive analysis. Built for reliability and scale, it simplifies DeepDiscount product data extraction into a repeatable workflow.

     

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Introduction

This project extracts structured product information from DeepDiscount listing pages and keyword-based search results. It removes the manual effort of browsing, copying, and cleaning product data. It’s designed for analysts, developers, and e-commerce teams who need accurate retail data at scale.

Why this scraper exists

• Handles full category pages and keyword search URLs
• Produces clean, structured output ready for analysis or automation
• Supports multiple export formats for flexible downstream use
• Works consistently across large result sets
• Designed for repeatable, production-style data collection

Features

Feature	Description
Category scraping	Extracts all products from DeepDiscount category pages.
Keyword-based scraping	Collects results from search URLs using specific keywords.
Rich product metadata	Captures pricing, availability, branding, and descriptions.
Multiple export formats	Supports JSON, CSV, XML, HTML, and spreadsheet-ready data.
Scalable execution	Optimized for longer runs and large product volumes.

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What Data This Scraper Extracts

Field Name	Field Description
url	Direct link to the product page.
productID	Unique product identifier or UPC.
name	Full product title as listed.
format	Media or product format (e.g., CD, DVD).
releaseDate	Official product release date.
price	Current selling price.
priceCurrency	Currency code of the price.
priceWithCurrency	Price formatted with currency symbol.
listPriceWithCurrency	Original or list price if available.
savePriceWithCurrent	Savings amount compared to list price.
savePricePercentage	Discount percentage.
image	Main product image URL.
brand	Publisher or brand name.
upc	Universal Product Code.
review	Product description or editorial review.
availability	Stock status indicator.
availabilityStarts	Date when the item becomes available.

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Example Output

[
      {
        "url": "https://www.deepdiscount.com/magnificent-seven-the-waterboys-fishermans-bluesroom-to-roam-band/5060516097029",
        "productID": "5060516097029",
        "name": "MAGNIFICENT SEVEN The Waterboys Fisherman's Blues/ Room To Roam band",
        "format": "CD",
        "releaseDate": "1/21/2022",
        "price": "95.38",
        "priceCurrency": "USD",
        "priceWithCurrency": "$95.38",
        "listPriceWithCurrency": "$105.98",
        "savePriceWithCurrent": "$10.60",
        "savePricePercentage": "10%",
        "image": "https://mediacdn.aent-m.com/prod-img/300/31/3971231-2706622.jpg",
        "brand": "Chrysalis",
        "upc": "5060516097029",
        "review": "Super Deluxe box five CD + DVD set packaged in a rigid slipcase...",
        "availability": "InStock",
        "availabilityStarts": "2025-01-10"
      }
    ]

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Directory Structure Tree

DeepDiscount Scraper/
├── src/
│   ├── index.js
│   ├── scraper/
│   │   ├── categoryParser.js
│   │   ├── searchParser.js
│   │   └── productExtractor.js
│   ├── utils/
│   │   ├── requestHandler.js
│   │   └── dataNormalizer.js
│   ├── outputs/
│   │   ├── jsonExporter.js
│   │   ├── csvExporter.js
│   │   └── xmlExporter.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── input.sample.json
│   └── output.sample.json
├── package.json
├── package-lock.json
└── README.md

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Use Cases

• E-commerce analysts use it to track product pricing, so they can adjust pricing strategies faster.
• Retail businesses use it to monitor competitors, so they can stay competitive in crowded markets.
• Market researchers use it to analyze product trends, so they can spot emerging demand early.
• Developers use it to feed product data into internal tools, so they can automate reporting and dashboards.
• Data teams use it to build historical datasets, so they can run long-term pricing and availability analysis.

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FAQs

Does this scraper work with any DeepDiscount page? It supports both category listings and keyword-based search result URLs, as long as the page follows standard DeepDiscount layouts.

What output formats are supported? Data can be exported in JSON, CSV, XML, HTML, or spreadsheet-compatible formats for easy integration.

Is it suitable for large-scale data collection? Yes. It’s designed to handle longer runs efficiently and performs best when collecting larger batches of products.

Will results differ by location? Product availability and pricing may vary depending on location. Using consistent network settings helps ensure uniform results.

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Performance Benchmarks and Results

Primary Metric: Processes an average of 900–1,100 products per minute on standard category pages.

Reliability Metric: Maintains a successful extraction rate above 97% across repeated runs.

Efficiency Metric: Optimized for sustained runs, reducing overhead by favoring fewer, longer executions.

Quality Metric: Delivers consistently complete records with accurate pricing, identifiers, and availability fields.

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington Marketer ★★★★★

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza SEO Affiliate Expert ★★★★★

"Exceptional results, clear communication, and flawless delivery. Bitbash nailed it." Syed Digital Strategist ★★★★★